Fault detection for asynchronous T–S fuzzy networked Markov jump systems with new event‐triggered scheme-Reference-Cited by-同舟云学术

Fault detection for asynchronous T–S fuzzy networked Markov jump systems with new event‐triggered scheme

Published:2021-05-02 Issue:11 Volume:15 Page:1461-1473
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Aslam Muhammad Shamrooz¹,Li Qianmu²³⁴,Hou Jun³⁵

Affiliation:

1. School of Electrical and Information Engineering Guangxi University of Science and Technology Liuzhou China

2. School of Cyber Science and Engineering Nanjing University of Science and Technology Nanjing China

3. Intelligent Manufacturing Department Wuyi University Jiangmen China

4. Jiangsu Zhongtian Internet Technology Co., Ltd. Nantong 226463 China

5. School of Social Science Nanjing Vocational University of Industry Technology Nanjing China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12136

Reference54 articles.

1. Dissipativity‐based disturbance attenuation control for T–S fuzzy Markov jumping systems with nonlinear multisource uncertainties and partly unknown transition probabilities;Wang Z.;IEEE Trans. Cybern.,2020

2. Finite-time Asynchronous H∞ Filtering Design of Markovian Jump Systems with Randomly Occurred Quantization

3. Quantized dissipative filter design for Markovian switch T–S fuzzy systems with time–varying delays;Aslam M.S.;Soft Comput.,2019

4. Extended dissipative asynchronous filtering for T–S fuzzy switched systems with partial transition descriptions and incomplete measurements;Shan Y.;Soft Comput.,2020

5. Adaptive event-triggered H∞ fuzzy filtering for interval type-2 T–S fuzzy-model-based networked control systems with asynchronously and imperfectly matched membership functions

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